To test the usefulness of the forensic PCR-MPS approach to eye and hair color prediction for aged skeletons, a customized version of the PCR-MPS HIrisPlex panel was used on two sets of samples. The first set contained 11 skeletons dated from the 3rd to the 18th centuries AD, and for each of them at least four bone types were analyzed (for a total of 47 samples). In the second set, 24 skeletons from the Second World War were analyzed, and only petrous bones from the skulls were tested. Good-quality libraries were achieved in 83.3% of the cases for the ancient skeletons and in all Second World War petrous bones, with 94.7% and 100% of the markers, respectively, suitable for SNP typing. Consensus typing was achieved for about 91.7% of the markers in 10 out of 11 ancient skeletons, and the HIrisPlex-S webtool was then used to generate phenotypic predictions. Full predictions were achieved for 3 (27.3%) ancient skeletons and 12 (50%) Second World War petrous bones. In the remaining cases, different levels of AUC (area under the receiver operating curve) loss were computed because of no available data (NA) for 8.3% of markers in ancient skeletons and 4.2% of markers in Second World War petrous bones. Although the PCR-based approach has been replaced with new techniques in ancient DNA studies, the results show that customized forensic technologies can be successfully applied to aged bone remains, highlighting the role of the template in the success of PCR-MPS analysis. However, because several typical errors of ancient DNA sequencing were scored, replicate tests and accurate evaluation by an expert remain indispensable tools.

Suicide is multifactorial and polygenic phenotype, affected by environmental and genetic factors. Among epigenetic mechanisms, miRNAs have been studied, but so far no very concise results exist. To overcome limitations of candidate miRNA and whole genome sequencing approaches, we created an in silico analysis algorithm that would help select the best suitable miRNAs that target the most interesting genes associated with suicidality. We used databases/web algorithms DIANA microT, miRDB, miRmap, miRWalk, and TargetScan and candidate genes SLC6A4, HTR1A, BDNF, NR3C1, ZNF714, and NRIP3. Based on a prediction algorithm, we have chosen miRNAs that are targeting regulation of the genes listed, and are at the same time being expressed in the brain. The highest ranking scores were obtained for hsa-miR-4516, hsa-miR-3135b, hsa-miR-124-3p, hsa-miR-129-5p, hsa-miR-27b-3p, hsa-miR-381-3p, hsa-miR-4286. Expression of these miRNAs was tested in the brain tissue of 40 suicide completers and controls, and hsa-miR-4516 and hsa-miR-381-3p showed a trend for statistical significance. We also checked the expression of the target genes of these miRNAs, and for NR3C1 expression was lower in suicide completers compared to controls, which is in accordance with the available literature results. To determine the miRNAs that are most suitable for further suicidality research, more studies, combining in silico analysis and wet lab experiments, should be performed.

Mitochondrial DNA (mtDNA) is of great value in forensics to procure information about a person when a next of kin, personal belongings, or other sources of nuclear DNA (nDNA) are unavailable, or nDNA is lacking in quality and quantity. The quality and reliability of the results depend greatly on ensuring optimal conditions for the given method, for instance, the optimal input of the copy number (CN) in next-generation sequencing (NGS) methods. The unavailability of commercial quantitative PCR (qPCR) methods to determine mtDNA CN creates the necessity to rely on recommendations to infer mtDNA CN from nDNA yield. Because nDNA yield varies between individuals, tissues, parts of the same tissue, and because mtDNA CN varies between tissues, such assumptions must be examined for a specific context, rather than be generalized. This study compares mtDNA CN calculated from nDNA yield and qPCR measured mtDNA CN. Seventy-five femurs from the Second World War victims were used as samples; they were cut below the greater trochanter, surface contaminants were removed by mechanical and chemical cleaning, samples were fully demineralized, and DNA was isolated. PowerQuant® Kit (Promega) was used to analyze DNA yield. An in-house method was used to determine mtDNA CN. Comparison of mtDNA CN from nDNA derived calculations and measured mtDNA CN highlighted vast differences. The results emphasize the need to perform qPCR to assess mtDNA CN before NGS analyses of aged bones’ mitogenomes rather than estimating mtDNA CN from nDNA yield to ensure the quality and reliability of the results of NGS analysis.